Staff, ML Research Scientist
Core
Researching and building novel machine learning models and algorithms to enable robots to operate safely around people.
Role type
Staff ML Research Scientist (Robotics Safety)
Builds
Machine learning models for robot safety, hazard detection, and perception systems.
Domain
Robotics, Embodied AI, Computer Vision, Deep Reinforcement Learning
Deliverable
production ML models
Required skills
Deep Learning, Transformers, VLMs/VLAs, Deep Reinforcement Learning, Computer Vision, World Models, Network Design, Data Management, Hyperparameter Search, Model Deployment, Online Validation
Preferred skills
Publications in related areas
Technologies
Transformers, VLMs, VLAs, Deep Reinforcement Learning
Responsibilities
Research and build novel model architectures for safe robot operation; Research, build, validate, and deploy ML models to detect hazards and environmental features; Develop datasets, metrics, and validation plans for ML model research; Design and prototype deep learning-based perception and behavior models.
Seniority
Staff, hands-on IC with strategic impact
